To unlock this feature and to subscribe to our weekly evidence emails, please create a FREE orthoEvidence account.

SIGNUP

Already Have an Account?

Loading...
Visit our Evidence-Based Covid-19 Website and Stay Up to Date with the latest Research.
Ace Report Cover

OTA 2019: Change in infection rates over past four decades in patients with open tibia fractures

Download
Share
Reprints
Cite This
About
+ Favorites
Share
Reprints
Cite This
About
+ Favorites
Ace Report Cover
November 2019

OTA 2019: Change in infection rates over past four decades in patients with open tibia fractures

Vol: 8| Issue: 11| Number:7| ISSN#: 2564-2537
Study Type:Systematic review
OE Level Evidence:N/A
Journal Level of Evidence:N/A

Have Infection Rates Following Open Tibia Fractures Changed? A Review of 11,000 Open Tibia Fractures Over 4 Decades

Contributing Authors:
JF Kellam I Castillo JA Heiner SJ Warner

Did you know you're eligible to earn 0.5 CME credits for reading this report? Click Here

CONFERENCE ACE REPORTS

This ACE Report is a summary of a conference presentation or abstract. The information provided has limited the ability to provide an accurate assessment of the risk of bias or the overall quality. Please interpret the results with caution as trials may be in progress and select results may have been presented.

Synopsis

The development of medical interventions over the past forty years has led to new strategies for the prevention of infection in open tibia fractures. 165 studies (11,297 patients) were included in this systematic review investigating infection rates in patients with open tibia fractures. Overall, the rates of infection were similar between patient data from 1977-1987 (9.45%), 1988-1998 (13.12%), 1...

CME Image

Did you know that you’re eligible to earn 0.5 CME credits for reading this report!

LEARN MORE

Join the Conversation

Please Login or Join to leave comments.

Learn about our AI Driven
High Impact Search Feature

High Impact Icon

Our AI driven High Impact metric calculates the impact an article will have by considering both the publishing journal and the content of the article itself. Built using the latest advances in natural language processing, OE High Impact predicts an article’s future number of citations better than impact factor alone.

Continue